Results 171 to 180 of about 2,307,372 (214)

Alarm correlation using Apriori algorithm

2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015
Communication networks usually contain thousands of components producing millions of alarms every day. To ensure sustainable high quality network services, network surveillance experts need to inspect these alarms and determine the underlying faults. High number of network alarms cause alarm pollution which may cause not only extra time spent by the ...
Mehmet Onur Sarkan, Aysel Akcakoca, Can Kucukakdag, Zehra Cataltepe   +3 more
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A Matrix-Based Apriori Algorithm Improvement

2018 IEEE Third International Conference on Data Science in Cyberspace (DSC), 2018
Association rule mining is to find interesting hidden associations from a huge number of initial data. Apriori algorithm is an effective way to find these associations. However, the original Apriori has its own drawback. Firstly, it needs to scan the database numerous times.
Qinliu Yang, Qunchao Fu, Cong Wang 0003, Jincui Yang   +3 more
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An Improved Apriori Algorithm Based on Features

2013 Ninth International Conference on Computational Intelligence and Security, 2013
In the traditional Apriori algorithm, all the database transaction items are equally important. However, in fact, in order to discover more reasonable association rules, different items should be given different importance. In this paper, an improved algorithm based on Apriori algorithm is proposed, in which every transaction item has its own feature(s)
Jun Yang, Zhonghua Li, Wei Xiang, Luxin Xiao   +3 more
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Maximizing the Efficiency of Parallel Apriori Algorithm

2009 International Conference on Advances in Recent Technologies in Communication and Computing, 2009
In this paper we attempt to maximize the efficiency of the parallel Apriori Algorithm. The paper analyzes the performance of the algorithm over different datasets and over n processors on a commodity cluster of machines. In the Apriori Algorithm all processes need to synchronize after every pass.
Ketan Shah, Sunita Mahajan
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A Study of Improving Apriori Algorithm

2010 2nd International Workshop on Intelligent Systems and Applications, 2010
The Apriori algorithm is one of the most influential apriori for mining association rules. The basic idea of the Apriori algorithm is to identify all the frequent sets. Through the frequent sets, derived association rules, these rules must satisfy minimum support threshold and minimum confidence threshold.
Libing Wu, Kui Gong, Yanxiang He, Xiaohua Ge, Jianqun Cui   +4 more
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Research and improvement of Apriori algorithm

2016 Sixth International Conference on Information Science and Technology (ICIST), 2016
Apriori algorithm is a classical association rule mining algorithm, but it has problems about frequently scanning database and generating a large number of candidate sets. To solve these problems, an improved DC_Apriori algorithm was proposed, which restructured the storage structure of the database, improved connection of frequent item sets, the ...
Jiaoling Du, Xiangli Zhang, Hongmei Zhang, Lei Chen   +3 more
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A New Improvement on Apriori Algorithm

2006 International Conference on Computational Intelligence and Security, 2006
Efficiency has been concerned for several years in the research of association rules mining. In this paper, based on the improvement on the classical Apriori algorithm, a high-dimension oriented Apriori algorithm is proposed. Unlike existed Apriori improvements, our algorithm adopts a new method to reduce the redundant generation of sub-itemsets during
Lei Ji, Baowen Zhang, Jianhua Li
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Study and Analysis of Incremental Apriori Algorithm

2011
Abstract. Study of this paper is based on finding the threshold value of database change up to which incremental Apriori algorithm performs better. A new incremental Apriori algorithm is also proposed which performs better than the existing algorithm in terms of computation time.
Neeraj Kumar Sharma 0005, Naresh Kumar Nagwani   +1 more
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A Novel and Improved Apriori Algorithm

Applied Mechanics and Materials, 2014
Apriori algorithm is the classical algorithm in data mining association rules. Because the Apriori algorithm needs scan database for many times, it runs too slowly. In order to improve the running efficiency, this paper improves the Apriori algorithm based on the Apriori analysis.
Dong Juan Gu, Lei Xia
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An implementation of improved apriori algorithm

2009 International Conference on Machine Learning and Cybernetics, 2009
Data mining is the analysis of (often large) observational data sets to find unsuspected relationships and to summarize the data in novel ways that are both understandable and useful to the data owner. Association rules are highly popular data mining method.
null Gang Yang, null Hong Zhao, null Lei Wang, null Ying Liu   +3 more
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